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α: calibrated so average coauthorship-adjusted count equals average raw count
This paper presents an analysis of how inattention affects credit card repayment dates. Data from an Asian commercial bank reveal that 70 % of repayments are made prior to the due date and 21 % are late. We show that exogenous reductions in attention levels, stemming from weekday-weekend variations in billing dates and natural disasters, amplify late repayments and diminish early repayments. We find that early repayments are not random errors, and consumers learn to pay earlier or sign up for automatic payment after historical delays. We introduce a model based on inattention and heterogeneous awareness to explain these findings.